Working with Machine Learning/Artificial Intelligence systems: workers’ viewpoints and experiences

Tamari Gamkrelidze (1, 2) , Moustafa Zouinar (1, 2) , Flore Barcellini (2)

1 Telecom Orange
2 CRTD - Centre de recherche sur le travail et le développement

The recent developments of Artificial Intelligence (AI) have raised several social issues, especially about the consequences of the deployment of AI systems on work. This paper aims to discuss those issues in light of literature and an ongoing empirical study. Drawing on a qualitative method, this study explores workers’ viewpoints on and/or experiences of AI systems in different work situations. We organize our findings according to five dimensions: place and usage of Machine Learning/Artificial Intelligence (ML/AI) systems in work settings; “relationship” between ML/AI systems and workers; explainability; trust; and transformations of work. For each dimension, we examine workers’ viewpoints and experiences, in the light of recent “gray” literature and on previous ergonomics literature on automation and AI.

Mots clés: Human-centered computing; Human computer interaction (HCI); Empirical studies in HCI

Domaines: Psychologie

Tamari Gamkrelidze, Moustafa Zouinar, Flore Barcellini. Working with Machine Learning/Artificial Intelligence systems: workers’ viewpoints and experiences. 32nd Annual European Conference on Cognitive Ergonomics (ECCE 2021), European Association of Cognitive Ergonomics, Apr 2021, Siena, Italy. pp.1-7, ⟨10.1145/3452853.3452876⟩. ⟨hal-03211871⟩